Structural Equation Modelling Analysis of the Relationships Among University Students' Online Self-Regulation Skills, Satisfaction and Perceived Learning

Abstract

Teaching-learning activities carried out face-to-face in physical classrooms in higher education have been moved to the online environment due to the Covid-19 pandemic obligation. It is obvious that students' learning experiences and perceptions need to be researched empirically in order to optimize higher education strategies that have been moved to the online environment. Data were collected from 451 students studying in different departments in two education faculties in order to reveal the relationship between their satisfaction in the e-learning environment and their perceived learning experiences and using online self-regulation strategies based on the autonomous movement of students in the online environment. Descriptive analyses and path analysis were applied in order to answer the proposed research questions. As a result of this structural equation modeling, a relationship was determined between online self-regulation skills, goal setting and help seeking sub-factors, and satisfaction, goal setting, task strategies and self-evaluation sub-factors and perceived learning. In addition, a direct relationship was determined between satisfaction and perceived learning, supporting previous studies. With this research, it is thought that higher education institutions, administrators and instructors carrying out online teaching and learning activities will provide new perspectives on satisfaction and perceived learning outcomes when students' self-control skills are supported.